Senior AI Software Engineer
Credence Management Solutions, LLC1 month ago
McLean, VA, USASenior
Base Salary
$155k - $200k/yr
Responsibilities
- Design, develop, prototype, and refine generative AI, LLM-powered, retrieval-based, and agentic AI capabilities.
- Own agentic AI lifecycles including model selection, agent design, tool/function calling, orchestration, evaluation, response synthesis, and deployment.
- Design maintainable, testable, scalable software; conduct code reviews and establish technical patterns.
- Collaborate with data engineers, software engineers, data scientists, cloud engineers, and mission stakeholders to deliver operational AI solutions.
- Automate secure AI deployment workflows using Infrastructure as Code, CI/CD pipelines, containers, and cloud-native services.
- Monitor deployed AI systems, tune performance, and improve reliability and scalability.
- Document code and development practices in accordance with industry and federal guidelines.
- Mentor engineers and contribute to reusable standards, documentation, and technical design reviews.
Requirements
- Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field.
- At least 7 years of hands-on software engineering experience, including significant production or production-like AI/ML, generative AI, or LLM solution delivery.
- Experience building generative AI applications, working with LLMs, implementing tool/function calling, and applying evaluation, prompt/context engineering, or retrieval-augmented generation.
- Experience designing or implementing agentic AI solutions with frameworks or platforms such as Agent2Agent Protocol, Bedrock Agents, Mastra, CrewAI, Strands, AgentCore, LangChain, or LangGraph.
- Strong understanding of AI APIs and model platforms including OpenAI, Anthropic, Gemini, Amazon Bedrock, and Google Vertex AI.
- Proficiency in TypeScript and familiarity with Nx, Next.js, Mastra, Vercel AI SDK, Playwright, Jest, and Vite.
- Python proficiency and familiarity with uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, and Unstructured.
- Familiarity with CI/CD pipelines, including GitLab CI.
- Experience using VS Code and AI extensions such as Cline and Claude Code.
- U.S. citizenship with eligibility for a DoD Secret clearance.
- Preferred qualifications include exposure to data engineering, data science, UI/UX, cloud engineering, or platform engineering; experience with Terraform, Open Tofu, AWS CDK, or CloudFormation; and knowledge of federal cybersecurity, RMF, or FedRAMP.
Benefits
- Hybrid workplace and full-time employment.
- Medical, dental, and vision coverage.
- Retirement plan including 401(k) and IRA options.
- Basic, voluntary, and AD&D life insurance.
- Paid vacation, sick leave, and public holidays.
- Maternity and paternity family leave.
- Short-term and long-term disability coverage.
- Training and development opportunities.
- Wellness resources.
Tech Stack
Categories
About Credence Management Solutions, LLC
Credence Management Solutions, LLC provides IT consulting, engineering, and mission support to U.S. federal agencies, with emphasis on defense, intelligence, health, and humanitarian programs. It builds and operates secure AI, cloud, cyber, and DevSecOps solutions and delivers program management and systems engineering under government contracts. The privately held firm is headquartered in McLean, Virginia, and supports customers such as the U.S. Air Force at Wright-Patterson Air Force Base.